Agentic AI systems
Researching how autonomous systems plan, use tools, recover from mistakes, and complete complex work across longer horizons.
Nonprofit AI research for public benefit
RedMind research for AI systems society can trust.
RedMind Research Foundation supports scientific progress and public understanding in AI agents, model evaluation, human-AI collaboration, and responsible deployment.
Open
publications, code, benchmarks, and learning materials
Trustworthy
evaluation methods for agentic and long-horizon systems
Beneficial
research aligned with charitable, scientific, and educational goals
Research Focus
Built for the questions that matter before deployment.
RR studies how AI systems reason, act, collaborate, and interact with people in real-world settings.
Model evaluation
Creating benchmarks and public reports that make model capabilities, limitations, and failure modes easier to inspect.
Human-AI collaboration
Understanding the workflows where humans and AI systems share agency, judgment, feedback, and accountability.
Responsible deployment
Developing practical methods for reliability, safety, transparency, and public accountability in advanced AI systems.
Why RR
A public-interest home for frontier AI questions.
"RR gives researchers a credible path to publish practical evaluations without locking the work behind private incentives."
"The foundation's emphasis on reproducible outputs is exactly what students and independent builders need to participate responsibly."
"For mission-aligned partners, RR creates a bridge between technical research and public understanding."
Get Involved
Support open, trustworthy AI research.
Donors, collaborators, universities, nonprofits, and mission-aligned partners can help RR turn frontier AI work into public knowledge.